Muhammad et al., 2022 - Google Patents

Gvdeepnet: Unsupervised deep learning techniques for effective genetic variant classification

Muhammad et al., 2022

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Document ID
3489919774357198254
Author
Muhammad G
Saeed U
Islam N
Kumar K
Hussain F
Khurro M
Shaikh A
Ali I
Publication year
Publication venue
Pakistan Journal of Engineering and Technology

External Links

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Many lives have been lost due to genetic diseases and the inbility to identify them. The genetic disorder is mainly because of the alteration in the common DNA nucleotide sequence, where benign and pathogenic are the common examples of these genetic …
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Classifications

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    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • GPHYSICS
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    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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